Israel Zan‐Bar
- Immunology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Hematology top 10%
- Co-authors
- Samuel StroberE S VitettaShimon SlavinMichaël FeldmanS SlavinM. FeldmanNathan SharonAya Jakobovits
- Topics
- T-cell and B-cell Immunology (21 papers)Immune Cell Function and Interaction (14 papers)Immunotherapy and Immune Responses (7 papers)
- Journals
- The Journal of Experimental MedicineThe Journal of ImmunologyBiochemical and Biophysical Research Communications
- Partner nations
- IsraelUnited StatesRussia
In The Last Decade
Israel Zan‐Bar
43 papers receiving 774 citations
Peers
Comparison fields: 5 of 79
- Immunology 531
- Molecular Biology 193
- Radiology, Nuclear Medicine and Imaging 191
- Oncology 135
- Hematology 87
Countries citing papers authored by Israel Zan‐Bar
This map shows the geographic impact of Israel Zan‐Bar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Israel Zan‐Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Israel Zan‐Bar more than expected).
Fields of papers citing papers by Israel Zan‐Bar
This network shows the impact of papers produced by Israel Zan‐Bar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Israel Zan‐Bar. The network helps show where Israel Zan‐Bar may publish in the future.
Co-authorship network of co-authors of Israel Zan‐Bar
This figure shows the co-authorship network connecting the top 25 collaborators of Israel Zan‐Bar. A scholar is included among the top collaborators of Israel Zan‐Bar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Israel Zan‐Bar. Israel Zan‐Bar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 32 | |
| 3 | 41 | |
| 4 | 55 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Modulation of B cell maturation and migration to the thymus of SJL mice. B cell migration to the thymus. | 3 |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 40 | |
| 14 | 4 | |
| 15 | 31 | |
| 16 | 4 | |
| 17 | Cellular basis of tolerance to serum albumin in adult mice. I. characterization of T suppressor and T helper cells. | 8 |
| 18 | 62 | |
| 19 | 61 | |
| 20 | 3 |
About Israel Zan‐Bar
Israel Zan‐Bar is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Biological Psychiatry, having authored 44 papers that have together received 846 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Immunology (531 citations), Transplantation (30 citations) and Radiology, Nuclear Medicine and Imaging (191 citations). Israel Zan‐Bar has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include Samuel Strober, E S Vitetta, Shimon Slavin, Michaël Feldman, S Slavin, M. Feldman, Nathan Sharon, Aya Jakobovits, Ronit Aloni-Grinstein and Varda Rotter. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemical and Biophysical Research Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.